Daniel F. Huber

1.5k total citations
14 papers, 1.1k citations indexed

About

Daniel F. Huber is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Daniel F. Huber has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 5 papers in Environmental Engineering. Recurrent topics in Daniel F. Huber's work include Robotics and Sensor-Based Localization (7 papers), Remote Sensing and LiDAR Applications (5 papers) and Computer Graphics and Visualization Techniques (4 papers). Daniel F. Huber is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Remote Sensing and LiDAR Applications (5 papers) and Computer Graphics and Visualization Techniques (4 papers). Daniel F. Huber collaborates with scholars based in United States, South Korea and Germany. Daniel F. Huber's co-authors include Martial Hebert, Nicolas Vandapel, Jean‐François Lalonde, Kiho Kwak, Takeo Kanade, Hernán Badino, M. Gottlieb, Boris Kaminsky, Louis J. Denes and Andrew Johnson and has published in prestigious journals such as International Journal of Computer Vision, The International Journal of Robotics Research and Image and Vision Computing.

In The Last Decade

Daniel F. Huber

14 papers receiving 988 citations

Peers

Daniel F. Huber
Comparison fields: 5 of 82
  • Aerospace Engineering 604
  • Computer Vision and Pattern Recognition 590
  • Environmental Engineering 362
  • Geology 348
  • Computational Mechanics 98
Replace Nicolas Vandapel with:
Nicolas Vandapel United States
Mihai Dolha Germany
Laurent Trassoudaine France
Bertrand Douillard Australia
Michel Devy France
Paul Checchin France
Csaba Benedek Hungary
Jan Elseberg Germany
Kai Lingemann Germany
Jérémie Papon Germany
Nicolas Vandapel United States View profile →
Citations per field, relative to Daniel F. Huber
Daniel F. Huber · 1×
Citations per year, relative to Daniel F. Huber
Daniel F. Huber · 1×

Countries citing papers authored by Daniel F. Huber

Since Specialization
Citations

This map shows the geographic impact of Daniel F. Huber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel F. Huber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel F. Huber more than expected).

Fields of papers citing papers by Daniel F. Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel F. Huber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel F. Huber. The network helps show where Daniel F. Huber may publish in the future.

Co-authorship network of co-authors of Daniel F. Huber

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Huber. A scholar is included among the top collaborators of Daniel F. Huber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel F. Huber. Daniel F. Huber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 1
2 1
3 47
4 66
5 7
6 24
7 347
8 147
9 261
10 18
11 35
12
Automatic three-dimensional modeling from reality
61
13 32
14 10

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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